A Methodology for Calculating Greenhouse Effect of Aircraft Cruise Using Genetic Algorithm-Optimized Wavelet Neural Network
Joint Authors
Tian, Yong
Ma, Lina
Yang, Songtao
Wang, Qian
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Reliable assessment on the environmental impact of aircraft operation is vital for the performance evaluation and sustainable development of civil aviation.
A new methodology for calculating the greenhouse effect of aircraft cruise is proposed in this paper.
With respect to both cruise strategies and wind factors, a genetic algorithm-optimized wavelet neural network topology is designed to model the fuel flow-rate and developed using the real flight records data.
Validation tests demonstrate that the proposed model with preferred network architecture can outperform others investigated in this paper in terms of accuracy and stability.
Numerical examples are illustrated using 9 flights from Beijing Capital International Airport to Shanghai Hongqiao International Airport operated by Boeing 737–800 aircraft on October 2, 2019, and the generated fuel consumption, CO2 and NOx emissions as well as temperature change for different time horizons can be effectively given through the proposed methodology, which helps in the environmental performance evaluation and future trajectory planning for aircraft cruise.
American Psychological Association (APA)
Tian, Yong& Ma, Lina& Yang, Songtao& Wang, Qian. 2020. A Methodology for Calculating Greenhouse Effect of Aircraft Cruise Using Genetic Algorithm-Optimized Wavelet Neural Network. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1143590
Modern Language Association (MLA)
Tian, Yong…[et al.]. A Methodology for Calculating Greenhouse Effect of Aircraft Cruise Using Genetic Algorithm-Optimized Wavelet Neural Network. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1143590
American Medical Association (AMA)
Tian, Yong& Ma, Lina& Yang, Songtao& Wang, Qian. A Methodology for Calculating Greenhouse Effect of Aircraft Cruise Using Genetic Algorithm-Optimized Wavelet Neural Network. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1143590
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143590